A Team Without Decision Rights Turns Every Choice Into a Meeting
Stop teams reopening the same choices. Build a decision-rights map that clarifies who decides, who contributes, when approval is needed and how to escalate.
Category: General Category
AI Leadership Is Becoming the Art of Judgment Design
As AI systems handle larger workflows, leaders must move beyond task supervision toward designing objectives, boundaries, oversight and accountability.
Small Business AI Governance: A Simple Policy That Works
Create a practical AI policy for your small business covering privacy, accuracy, human review, approved tools and accountability.
Decision Architecture: Make Better Choices With Less Overload
Reduce decision fatigue by designing your environment, defaults and routines so important choices receive more deliberate attention.
AI at Work Changes More Than Productivity: New Research Links Human-AI Interaction to Role Identity
A study published 9 September 2026 found human-AI interaction was positively associated with workplace task performance, partly through employees’ role identity and self-efficacy. The finding suggests AI adoption succeeds not only when the technology works—but when workers still understand what they contribute.
Why Do Some People Feel More Heard by AI? New UK–China Research Examines the Psychology of Listening
A new cultural case study from Cambridge and SOAS examines how a Chinese migrant woman living across China and the UK used generative AI for emotional support. The paper argues that AI may sometimes function as a temporary “care-patch” where human listening feels scarce, delayed or burdensome.
A Community Dashboard Should Show What Happened After the Report
Community reporting tools need clear follow-through: show who is handling an issue, what the status means and how residents can respond.
Lunch Table Dreams: A Power Lunch for Creativity, AI and Responsible Leadership
Revisit Lunch Table Dreams by Mary Oge Chuks: a playful power lunch that opens a conversation about creativity, AI, compliance and responsible leadership.
Give Your Next AI Project a Definition of Done
Define completion before an AI project begins: specify the deliverable, its checks, its destination and the evidence that the work is finished.
The Missing Line in Your AI Workflow: What Happens When It Stops Working?
A dependable AI workflow includes a fallback. Name the trigger, the person responsible and the smallest service you can continue delivering.